Salesforce SALESFORCE-DATA-CLOUD Online Practice Questions and Exam Preparation

Salesforce SALESFORCE-DATA-CLOUD Online Questions & Answers

• Question 71:

  Northern Trail Outfitters asks its consultant to extract the runner profiles and activity logs from its Track My Run mobile app and load them into Data Cloud. The marketing department also indicates that they need the last 90 days of historical data and want all new and updated data as it becomes available on a go-forward basis.

  As best practice, which sequence of actions should the consultant use to implement this request?

  A. Use bulk ingestion to first load the last 90 days of data, and also subsequently use bulk ingestion to synchronize the future data as It becomes available.
  B. Use streaming ingestion to first load the last 90 days of data, and also subsequently use streaming ingestion synchronize future data as It becomes available.
  C. Use streaming ingestion to first load the last 90 days of data, and then use bulk Ingestion to synchronize future data as It becomes available.
  D. Use bulk ingestion to first load the last 90 days of data, and then use streaming ingestion to synchronize future data as It becomes available.
  D. Use bulk ingestion to first load the last 90 days of data, and then use streaming ingestion to synchronize future data as It becomes available.

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  Explanation

  Initial Data Load: For loading large volumes of historical data, such as the last 90 days of runner profiles and activity logs, bulk ingestion is the most efficient method. It allows for high-throughput data transfer.

  Bulk Ingestion: Use Salesforce Data Cloud's bulk ingestion tools to load the historical data quickly and efficiently.

  Ongoing Data Synchronization: To keep the Data Cloud updated with new and modified records as they become available in the Track My Run mobile app, streaming ingestion is appropriate. It ensures near-real-time data updates.

  Streaming Ingestion: Configure streaming ingestion to continuously update the Data Cloud with new and updated data from the mobile app.

  Sequence of Actions: Step 1: Perform bulk ingestion to import the last 90 days of historical data into Data Cloud. Step 2: Set up streaming ingestion to handle ongoing updates and new data as it becomes available.

  Best Practice: This approach ensures that the initial large data load is handled efficiently, and ongoing updates are processed in near real-time, providing the marketing department with the most up-to-date data.

  References:

  Salesforce Data Cloud Ingestion Methods Salesforce Bulk Data Ingestion Salesforce Streaming Data Ingestion

• Question 72:

  How many Metrics can be present in 1 segment container?

  A. 1
  B. 5
  C. 10
  D. 100
  A. 1

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  Explanation

  Only one metric can be present in one segment container. A segment container is a logical grouping of segments that share the same metric and granularity. A metric is a calculated insight that defines and calculates a multidimensional measure on your data. A granularity is the level of detail at which you want to analyze your data, such as daily, weekly, or monthly. You can create multiple segment containers with different metrics and granularities, but each segment container can only have one metric.

  References:

  Segment Containers

• Question 73:

  Cumulus Financial wants to be able to track the daily transaction volume of each of its customers in real time and send out a notification as soon as it detects volume outside a customer's normal range.

  What should a consultant do to accommodate this request?

  A. Use a calculated insight paired with a flow.
  B. Use streaming data transform with a flow.
  C. Use a streaming insight paired with a data action
  D. Use streaming data transform combined with a data action.
  C. Use a streaming insight paired with a data action

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  Explanation

  A streaming insight is a type of insight that analyzes streaming data in real time and triggers actions based on predefined conditions. A data action is a type of action that executes a flow, a data action target, or a data action script when an insight is triggered. By using a streaming insight paired with a data action, a consultant can accommodate

  Cumulus Financial's request to track the daily transaction volume of each customer and send out a notification when the volume is outside the normal range. A calculated insight is a type of insight that performs calculations on data in a data space and stores the results in a data extension. A streaming data transform is a type of data transform that applies transformations to streaming data in real time and stores the results in a data extension. A flow is a type of automation that executes a series of actions when triggered by an event, a schedule, or another flow. None of these options can achieve the same functionality as a streaming insight paired with a data action.

  Use Insights in Data Cloud Unit, Streaming Insights and Data Actions Use Cases, Streaming Insights and Data Actions Limits and Behaviors

• Question 74:

  A retail customer wants to bring customer data from different sources and wants to take advantage of Identity Resolution so that it can be used in Segmentation.

  On which entity should this be segmented for activation membership?

  A. Subscriber
  B. Unified Contact
  C. Unified Individual
  D. Individual
  C. Unified Individual

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  Explanation

  The Unified Individual entity represents the result of Identity Resolution, which links together multiple records of an individual from different sources into a single profile 4. This entity can be used for Segmentation and Activation, as it provides a complete and accurate view of each customer.

• Question 75:

  A customer has a requirement to receive a notification whenever an activation fails for a particular segment.

  Which feature should the consultant use to solution for this use case?

  A. Flow
  B. Report
  C. Activation alert
  D. Dashboard
  C. Activation alert

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  Explanation

  The feature that the consultant should use to solution for this use case is C. Activation alert. Activation alerts are notifications that are sent to users when an activation fails or succeeds for a segment. Activation alerts can be configured in the Activation Settings page, where the consultant can specify the recipients, the frequency, and the conditions for sending the alerts. Activation alerts can help the customer to monitor the status of their activations and troubleshoot any issues that may arise.

  References:

  Salesforce Data Cloud Consultant Exam Guide, Activation Alerts

• Question 76:

  Northern Trail Outfitters uploads new customer data to an Amazon S3 Bucket on a daily basis to be ingested in Data Cloud. Based on this, a calculated insight is created that shows the total spend per customer in the last 30 days.

  In which sequence should each process be run to ensure that freshly imported data is ready and available to use for any segment?

  A. Refresh Data Stream > Identity Resolution > Calculated Insight
  B. Refresh Data Stream > Calculated Insight > Identity Resolution
  C. Calculated Insight > Refresh Data Stream > Identity Resolution
  D. Identity Resolution > Refresh Data Stream > Calculated Insight
  A. Refresh Data Stream > Identity Resolution > Calculated Insight

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  Explanation

  To ensure that freshly imported data is ready and available for use in any segment, the processes should be run in the following sequence: Refresh Data Stream > Identity Resolution > Calculated Insight. Here's why: Understanding the Requirement Northern Trail Outfitters uploads new customer data daily to an Amazon S3 bucket, which is ingested into Data Cloud. A calculated insight is created to show the total spend per customer in the last 30 days. The goal is to ensure that the data is properly refreshed, resolved, and processed before being used in segments. Why This Sequence? Step 1: Refresh Data Stream Before any processing can occur, the data stream must be refreshed to ingest the latest data from the Amazon S3 bucket. This ensures that the most up-to-date customer data is available in Data Cloud.

  Step 2: Identity Resolution After refreshing the data stream, identity resolution must be performed to merge related records into unified profiles. This step ensures that customer data is consolidated and ready for analysis. Step 3: Calculated Insight Once identity resolution is complete, the calculated insight can be generated to calculate the total spend per customer in the last 30 days. This ensures that the insight is based on the latest and most accurate data.

  Other Options Are Incorrect:

  B. Refresh Data Stream > Calculated Insight > Identity Resolution: Calculated insights cannot be generated before identity resolution because they rely on unified profiles.

  C. Calculated Insight > Refresh Data Stream > Identity Resolution: Calculated insights require both fresh data and resolved identities, so this sequence is invalid.

  D. Identity Resolution > Refresh Data Stream > Calculated Insight: Identity resolution cannot occur without first refreshing the data stream to bring in the latest data. Conclusion The correct sequence is Refresh Data Stream > Identity Resolution > Calculated Insight, ensuring that the data is properly refreshed, resolved, and processed before being used in segments.

• Question 77:

  A user is not seeing suggested values from newly-modeled data when building a segment.

  What is causing this issue?

  A. Value suggestion is still processing and to be available.
  B. Value suggestion requires Data Aware Specialist permissions at a minimum.
  C. Value suggestion can only work on direct attributes and not related attributes.
  D. Value suggestion will only return result for the first 50 values of a specific attribute.
  A. Value suggestion is still processing and to be available.

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  Explanation

  Value suggestion is a feature that allows users to see suggested values for data model object (DMO) fields when creating segment filters. However, this feature can take up to 24 hours to process and display the values for newly-modeled data. Therefore, if a user is not seeing suggested values from newly-modeled data, it is likely that the value suggestion is still processing and will be available soon. The other options are incorrect because value suggestion does not require any specific permissions, can work on both direct and related attributes, and can return more than 50 values for a specific attribute, depending on the data type and frequency of the values.

  References:

  Use Value Suggestions in Segmentation, Data Cloud Limits and Guidelines

• Question 78:

  A consultant has an activation that is set to publish every 12 hours, but has discovered that updates to the data prior to activation are delayed by up to 24 hours.

  Which two areas should a consultant review to troubleshoot this issue? Choose 2 answers

  A. Review data transformations to ensure they're run after calculated insights.
  B. Review calculated insights to make sure they're run before segments are refreshed.
  C. Review segments to ensure they're refreshed after the data is ingested.
  D. Review calculated insights to make sure they're run after the segments are refreshed.
  B. Review calculated insights to make sure they're run before segments are refreshed.
  C. Review segments to ensure they're refreshed after the data is ingested.

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  Explanation

  The correct answer is B and C because calculated insights and segments are both dependent on the data ingestion process. Calculated insights are derived from the data model objects and segments are subsets of data model objects that meet certain criteria. Therefore, both of them need to be updated after the data is ingested to reflect the latest changes. Data transformations are optional steps that can be applied to the data streams before they are mapped to the data model objects, so they are not relevant to the issue. Reviewing calculated insights to make sure they're run after the segments are refreshed (option D) is also incorrect because calculated insights are independent of segments and do not need to be refreshed after them.

  References:

  Salesforce Data Cloud Consultant Exam Guide, Data Ingestion and Modeling, Calculated Insights, Segments

• Question 79:

  Which two dependencies need to be removed prior to disconnecting a data source?

  A. Activation Target
  B. Data Stream
  C. Segment
  D. Activation
  B. Data Stream
  C. Segment

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  Explanation

  These are the two dependencies that need to be removed prior to disconnecting a data source. A data stream is a process that ingests data from a data source into Data Cloud. A segment is a group of customers that meet certain criteria based on their data. If a data source is disconnected, any data streams or segments that depend on it will no longer

  function properly.

  References:

  [Data Sources], [Data Streams], [Segments]

• Question 80:

  A consultant is integrating an Amazon 53 activated campaign with the customer's destination system.

  In order for the destination system to find the metadata about the segment, which file on the 53 will contain this information for processing?

  A. The.txt file
  B. The json file
  C. The.csv file
  D. The.zip file
  B. The json file

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  Explanation

  The file on the Amazon S3 that will contain the metadata about the segment for processing is B. The json file. The json file is a metadata file that is generated along with the csv file when a segment is activated to Amazon S3. The json file contains information such as the segment name, the segment ID, the segment size, the segment attributes, the segment filters, and the segment schedule. The destination system can use this file to identify the segment and its properties, and to match the segment data with the corresponding fields in the destination system.

  References:

  Salesforce Data Cloud Consultant Exam Guide, Amazon S3 Activation